Jan Štěpánek
- Artificial Intelligence top 2%
- Plant Science
- Language and Linguistics top 5%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- Petr PajasJan HajičLluı́s MàrquezMihai SurdeanuNianwen XueDaisuke KawaharaYi ZhangAdam Meyers
- Topics
- Natural Language Processing Techniques (16 papers)Topic Modeling (7 papers)Semantic Web and Ontologies (6 papers)
In The Last Decade
Jan Štěpánek
19 papers receiving 529 citations
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 526
- Plant Science 60
- Language and Linguistics 59
- Molecular Biology 51
- Ecology, Evolution, Behavior and Systematics 41
Countries citing papers authored by Jan Štěpánek
This map shows the geographic impact of Jan Štěpánek's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jan Štěpánek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Štěpánek more than expected).
Fields of papers citing papers by Jan Štěpánek
This network shows the impact of papers produced by Jan Štěpánek. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jan Štěpánek. The network helps show where Jan Štěpánek may publish in the future.
Co-authorship network of co-authors of Jan Štěpánek
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Štěpánek. A scholar is included among the top collaborators of Jan Štěpánek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan Štěpánek. Jan Štěpánek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | Searching in the penn discourse treebank using the PML-Tree Query | 3 |
| 4 | 0 | |
| 5 | PDT-Vallex: Czech Valency lexicon linked to treebanks | 4 |
| 6 | 10 | |
| 7 | 30 | |
| 8 | HamleDT: To Parse or Not to Parse? | 32 |
| 9 | Announcing Prague Czech-English Dependency Treebank 2.0 | 86 |
| 10 | Prague Dependency Treebank 2.5 | 4 |
| 11 | Ways of Evaluation of the Annotators in Building the Prague Czech-English Dependency Treebank | 2 |
| 12 | Querying Diverse Treebanks in a Uniform Way. | 14 |
| 13 | 28 | |
| 14 | PML Tree Query | 1 |
| 15 | 10 | |
| 16 | 239 | |
| 17 | 51 | |
| 18 | Post-annotation checking of Prague Dependency Treebank 2.0 data. | 2 |
| 19 | Prague Dependency Treebank 2.0 - sample data | 1 |
| 20 | 63 |
About Jan Štěpánek
Jan Štěpánek is a scholar working on Artificial Intelligence, Language and Linguistics and Developmental and Educational Psychology, having authored 23 papers that have together received 609 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (16 papers), Topic Modeling (7 papers) and Semantic Web and Ontologies (6 papers). The work is most often cited by research in Artificial Intelligence (526 citations), Language and Linguistics (59 citations) and Ecology, Evolution, Behavior and Systematics (41 citations). Jan Štěpánek has collaborated with scholars based in Czechia, Italy and Germany. Frequent co-authors include Petr Pajas, Jan Hajič, Lluı́s Màrquez, Mihai Surdeanu, Nianwen Xue, Daisuke Kawahara, Yi Zhang, Adam Meyers, Richard Johansson and Pavel Straňák. Their work appears in journals such as Plant Systematics and Evolution, Language Resources and Evaluation and Education Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.